High Precision Conductance Modulation in CuCrP2S6 Synaptic Devices for Enhanced Neuromorphic Computing

• DOI: 10.1002/adfm.202504017
• Publication Date: 2025-05-05T08:01:53Z
• Authors: Xin Cheng; Zhipeng Zhong; Yezhao Zhuang; Wan Wang; Qianyi Yang; Xiang Li; Wu Shi; Xiangjian Meng; Yanan Cao; Jianlu Wang; Junhao Chu; Hai Huang
• Keywords: Neuromorphic engineering; Modulation (music); Memristor

Abstract Artificial synapses are essential components for realizing neuromorphic computing at the physical level. Although numerous artificial synaptic devices have been fabricated in recent years, their performance is often limited by resistance state modulation capabilities and stability. Developing with a high number of intermediate states, excellent linearity, ultralow power consumption remains challenge. This work presents device based on van der Waals layered ionic conductor material, CuCrP 2 S 6 (CCPS). By precisely controlling conductivity device, it exhibits exceptional biomimetic behaviors, including long‐term potentiation (LTP) depression (LTD) up to 8000 states (13‐bit), an nonlinearity <0.31, operating energy <45 pJ per pulse. Importantly, LTP LTD behaviors demonstrate outstanding stability, sustaining reliable over 32 cycles. A convolutional neural network (CNN) device's achieves recognition accuracy approaching full precision simulation image tasks. Additionally, shows significant advantages processing complex auditory signals, achieving 96.4% sound highlighting its potential applications.